It's a mad, mad, mad digital world, with digital connections, purchases and reservations to be made around the clock and around the world. Deeper insights gleaned from a broad array of digital sources can help travel providers increase demand while managing customer expectations.
Learn about the extraordinary potential of predictive analytics for helping with prevention, wellness management, fraud detection and more in healthcare. Listen to this podcast featuring Findability Sciences Founder and CEO Anand Mahurkar and Shahid Shah, CEO at Netspective Communications and
Cognitive analytics is reshaping the face of computing, bringing previously inaccessible capabilities to businesses across a range of industries. Discover how cognitive computing capabilities can help you create a cognitively enriched environment that can make your organization a hotbed of
Advanced analytics, reporting and aggregation software for social media is everywhere these days. As a social media manager, my job is to keep testing out these tools all the time. In all of this testing, seeing a disruptive product that makes you stop and think is rare. And yet I’m pleased to say
When disasters strike, emergency management infrastructures stand poised to respond, but saving lives depends on how quickly — and how dynamically — rescuers can reach a scene and react to what they find there. Here's a look at how real-time analytics are fueling more agile and effective rescue
How can organizations tasked with responding quickly to crisis events and saving lives empower its first responders with real-time information? See how International Medical Corps applied advanced analytics to shrink response times in emergencies.
Just as today’s businesses need to speed operations and cut costs, the same goals hold true for major sporting events such as the Australian Open Tennis Championships. To help make the Australian Open 2016 event the ultimate experience for online fans and the fans in attendance, see how the IBM
Data storage is an important consideration. The old models of extracting and converting data simply don't work with data analytics. There is too much data in too many different formats. The solution is using an enterprise data hub to store all of your data in the same location and in the same